A learning-based approach for vehicle-to-vehicle computation offloading
Vehicle-to-vehicle (V2V) computation offloading has emerged as a promising solution to
facilitate computing-intensive vehicular task processing, where task vehicles (ie, TaVs) will …
facilitate computing-intensive vehicular task processing, where task vehicles (ie, TaVs) will …
On the design of federated learning in latency and energy constrained computation offloading operations in vehicular edge computing systems
With the advent of smart vehicles, several new latency-critical and data-intensive
applications are emerged in Vehicular Networks (VNs). Computation offloading has …
applications are emerged in Vehicular Networks (VNs). Computation offloading has …
Digital twin-driven intelligent task offloading for collaborative mobile edge computing
Collaborative mobile edge computing (MEC) is a new paradigm that allows cooperative
peer offloading among distributed MEC servers to balance their computing workloads …
peer offloading among distributed MEC servers to balance their computing workloads …
Joint service caching, resource allocation and task offloading for MEC-based networks: A multi-layer optimization approach
W Chu, X Jia, Z Yu, JCS Lui… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
To provide reliable and elastic Multi-access edge computing services, one feasible solution
is to federate geographically proximate edge servers to form a logically centralized resource …
is to federate geographically proximate edge servers to form a logically centralized resource …
Joint air-ground distributed federated learning for intelligent transportation systems
Supported by some of the major revolutionary technologies, such as Internet of Vehicles
(IoVs), Edge Computing, and Machine Learning (ML), the traditional Vehicular Networks …
(IoVs), Edge Computing, and Machine Learning (ML), the traditional Vehicular Networks …
Slicing-based task offloading in space-air-ground integrated vehicular networks
H Shen, Y Tian, T Wang, G Bai - IEEE Transactions on Mobile …, 2023 - ieeexplore.ieee.org
A slicing-based collaborative task offloading framework for space-air-ground integrated
vehicular networks is proposed in this study, which can provide differentiated quality-of …
vehicular networks is proposed in this study, which can provide differentiated quality-of …
A survey on intelligent computation offloading and pricing strategy in UAV-Enabled MEC network: Challenges and research directions
The Mobile Network Operator (MNO) must select how to delegate Mobile Device (MD)
queries to its Mobile Edge Computing (MEC) server in order to maximize the overall benefit …
queries to its Mobile Edge Computing (MEC) server in order to maximize the overall benefit …
Joint task offloading and resource allocation for vehicular edge computing with result feedback delay
In this paper, we study the problem of joint Task offloading and resource Allocation for
vehicular edge computing with Result Feedback Delay (TARFD). Specifically, we consider a …
vehicular edge computing with Result Feedback Delay (TARFD). Specifically, we consider a …
Resource allocation for augmented reality empowered vehicular edge metaverse
Metaverse is considered to be the evolution of the next-generation networks, providing users
with experience sharing at the intersection between physical and digital. Augmented reality …
with experience sharing at the intersection between physical and digital. Augmented reality …
Collaborative reinforcement learning for multi-service internet of vehicles
Internet of Vehicles (IoV) is a recently introduced paradigm aiming at extending the Internet
of Things (IoT) toward the vehicular scenario in order to cope with its specific requirements …
of Things (IoT) toward the vehicular scenario in order to cope with its specific requirements …